Message capacity and claim wording set the transition points of collective truth-finding in language-model networks
Whether human or large language model (LLM), an agent in a discussion reads only a few of the others'contributions, bounded by cognition, context, or cost. LLM collectives can settle on a wrong consensus even when a majority starts out correct; we ask how far that reading bound alone decides the outcome. We model the b...